Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	acadia17_308
id	acadia17_308
authors	Joyce, Sam Conrad; Ibrahim, Nazim
year	2017
title	Exploring the Evolution of Meta Parametric Models
doi	https://doi.org/10.52842/conf.acadia.2017.308
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 308- 317
summary	Parametric associative logic can describe complex design scenarios but are typically non-trivial and time consuming to develop. Optimization is being widely applied in many fields to find high-performing solutions to objective design needs, and this is being extended further to include user input to satisfy subjective preferences. However, whilst conventional optimization approaches can set good parameters for a model, they cannot currently improve the underlying logic defined by the associative topology of the model, leaving it limited to predefined domain of designs. This work looks at the application of Cartesian Genetic Programming (CGP) as a method for allowing the automatic generation, combination and modification of valid parametric models, including topology. This has value as it allows for a much greater range of solutions, and potentially computational "creativity," as it can develop unique and surprising solutions. However, the application of a genome-based definition and evolutionary optimization, respectively, to describe parametric models and develop better models for a problem, introduce many unknowns into the model generation process. This paper explains CGP as applied to parametric design and investigates the difference between using mating, mutating and both strategies together as a way of combining aspects of parent models, under selection by a genetic algorithm under random, objective and user (Interactive GA) preferences. We look into how this effects the resultant overiterated interaction in relation to both the geometry and the parametric model.
keywords	design methods; information processing; generative system; data visualization; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_630
id	acadia17_630
authors	Vasanthakumar, Saeran; Saha, Nirvik; Haymaker, John; Shelden, Dennis
year	2017
title	Bibil: A Performance-Based Framework to Determine Built Form Guidelines
doi	https://doi.org/10.52842/conf.acadia.2017.630
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 630- 639
summary	City built-form guidelines act as durable constraints on building design decisions. Such guidelines directly impact energy, comfort and other performance conditions. Existing urban design and planning methods only consider a narrow range of potential design scenarios, with rudimentary performance criteria, resulting in suboptimal urban designs. Bibil is a software plugin for the Rhinoceros3D/Grasshopper3D CAD modeler that addresses this gap through the synthesis of design space exploration methods to help design teams optimize guidelines for environmental and energy performance criteria over the life cycle of the city. Bibil consists of three generative and data management modules. The first module simulates development scenarios from street and block information through time, the second designs appropriate architectural typology, and the third abstracts the typologies into a lightweight analysis model for detailed thermal load and energy simulation. State-of-the-art performance simulation is done via the Ladybug Analysis Tools Grasshopper3D plugin, and further bespoke analysis to explore the resulting design space is achieved with custom Python scripts.This paper first introduces relevant background for automated exploration of urban design guidelines. Then the paper surveys the state-of-the-art in design and performance simulation tools in the urban domain. Next the paper describes the beta version of the tool’s three modules and its application in a built form study to assess urban canyon performance in a major North American city. Bibil enables the exploration of a broader range of potential design scenarios, for a broader range of performance criteria, over a longer period of time.
keywords	design methods; information processing; simulation & optimization; form finding; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	ecaade2017_021
id	ecaade2017_021
authors	Agirbas, Asli
year	2017
title	The Use of Simulation for Creating Folding Structures - A Teaching Model
doi	https://doi.org/10.52842/conf.ecaade.2017.1.325
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 325-332
summary	In architectural education, the demand for creating forms with a non-Euclidean geometry, which can only be achieved by using the computer-aided design tools, is increasing. The teaching of this subject is a great challenge for both students and instructors, because of the intensive nature of architecture undergraduate programs. Therefore, for the creation of those forms with a non-Euclidean geometry, experimental work was carried out in an elective course based on the learning visual programming language. The creation of folding structures with form-finding by simulation was chosen as the subject of the design production which would be done as part of the content of the course. In this particular course, it was intended that all stages should be experienced, from the modeling in the virtual environment to the digital fabrication. Hence, in their early years of architectural education, the students were able to learn versatile thinking by experiencing, simultaneously, the use of simulation in the environment of visual programming language, the forming space by using folding structures, the material-based thinking and the creation of their designs suitable to the digital fabrication.
keywords	Folding Structures; CAAD; Simulation; Form-finding; Architectural Education
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia17_212
id	acadia17_212
authors	De Luca, Francesco
year	2017
title	Solar Form Finding: Subtractive Solar Envelope and Integrated Solar Collection Computational Method for High-Rise Buildings in Urban Environments
doi	https://doi.org/10.52842/conf.acadia.2017.212
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 212-221
summary	Daylight standards contribute significantly to the form of buildings and the urban environment. Direct solar access of existing and new buildings can be considered through the use of solar envelope and solar collection isosurface methods. The first determines the maximum volume and shape that new buildings cannot exceed to guarantee the required solar rights on existing surrounding facades. The latter predicts the portion of facades of new buildings that will receive the required direct sunlight hours in urban environments. Nowadays, environmental design software based on the existing methods permits the generation of solar envelopes and solar collection isosurfaces to use in the schematic design phase. Nevertheless, the existing methods and software present significant limitations when used to design buildings that must fulfil the Estonian daylight standard. Recent research has successfully developed computational workflows based on the existing methods and available tools to tackle such shortcomings. The present work uses the findings to propose a novel computational method to generate solar envelopes and integrate solar collection analysis. It is a subtractive form-finding method that is more efficient than the existing additive methods and other recent workflows when it is applied to high-rise buildings in fragmented urban environments. The tests performed show that the new method permits the realisation of compliant and larger solar envelopes, which furthermore embed formal properties. The objective of the research is to contribute to the development of computational methods and tools to integrate direct solar access performance efficiently into the design process.
keywords	design methods; information processing; simulation & optimization; form finding
series	ACADIA
email
last changed	2022/06/07 07:55

_id	acadia17_248
id	acadia17_248
authors	Felbrich, Benjamin; Fru?h, Nikolas; Prado, Marshall; Saffarian, Saman; Solly, James; Vasey, Lauren; Knippers, Jan; Menges, Achim
year	2017
title	Multi-Machine Fabrication: An Integrative Design Process Utilising an Autonomous UAV and Industrial Robots for the Fabrication of Long-Span Composite Structures
doi	https://doi.org/10.52842/conf.acadia.2017.248
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 248-259
summary	Fiber composite materials have tremendous potential in architectural applications due to their high strength-to-weight ratio and their ability to be formed into complex shapes. Novel fabrication processes can be based on the unique affordances and characteristics of fiber composites. Because these materials are lightweight and have high tensile strength, a radically different approach to fabrication becomes possible, which combines low-payload yet long-range machines—such as unmanned aerial vehicles (UAV)—with strong, precise, yet limited-reach industrial robots. This collaborative concept enables a scalable fabrication setup for long-span fiber composite construction. This paper describes the integrated design process and design development of a large-scale cantilevering demonstrator, in which the fabrication setup, robotic constraints, material behavior, and structural performance were integrated in an iterative design process.
keywords	material and construction; fabrication; construction; robotics
series	ACADIA
email
last changed	2022/06/07 07:50

_id	acadia17_318
id	acadia17_318
authors	Khan, Sumbul; Tunçer, Bige
year	2017
title	Intuitive and Effective Gestures for Conceptual Architectural Design: An Analysis Of User Elicited Hand Gestures For 3D CAD Modeling
doi	https://doi.org/10.52842/conf.acadia.2017.318
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 318- 323
summary	Gesture-based natural interfaces necessitate research into gestures that are intuitive for designers and effective for natural interaction. Intuitive knowledge is significant for conceptual design as it reduces time taken to complete tasks and improves usability of products. In a previously conducted experiment, we elicited gestures for 3D CAD modeling tasks for conceptual architectural design. In this study, we present a preliminary analysis of intuitiveness scores of gestures and evaluators’ ratings to analyze which gestures were more intuitive and effective for CAD manipulation tasks. Results show that gestures with high intuitive scores were not necessarily rated as effective by evaluators and that bimanual symmetric gestures consistently scored high for both intuitiveness and effectiveness. Based on our findings we give recommendations for the design of gesture-based CAD modeling systems for single and multiple users.
keywords	design methods; information processing; HCI; collaboration; art and technology
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_404
id	acadia17_404
authors	Miller, Nathan; Stasiuk, David
year	2017
title	A Novel Mesh-Based Workflow for Complex Geometry in BIM
doi	https://doi.org/10.52842/conf.acadia.2017.404
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 404- 413
summary	Various well-established digital modeling software platforms enable architectural design teams to rapidly sculpt and iterate over complex, doubly curved, and organic geometries. However, the software platforms that are used to author such geometries are rarely the same that are used for later-stage project development and delivery. For these phases of project execution, projects of even modest complexity are managed through building information modeling (BIM) software. Yet most BIM solutions are not suitable for natively handling the design of geometrically complex forms, failing to provide lightweight, responsive, or flexible authoring interfaces. A further complication is their inability to readily import or integrate any complex geometric elements or assemblies generated elsewhere. The development of improvements to interoperability between authoring and production software therefore remains an important goal in contemporary architectural practice. This paper describes a practical methodology that then engages various Application Programming Interfaces (APIs) and open-source programming tools to address the problem of interoperability for complex geometry in BIM. Specifically, it identifies meshes as a well-positioned data structure for use within the context of preparing complex design geometry for BIM production. We describe a novel technique for the efficient interoperability of complex NURBS poly-surface objects from one authoring platform, employing design meshes that cleanly capture not just geometry, but also user and procedurally derived descriptive data elements for advanced representation and analysis within a BIM production environment.
keywords	design methods; information processing; BIM
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_522
id	acadia17_522
authors	Sarafian, Joseph; Culver, Ronald; Lewis, Trevor S.
year	2017
title	Robotic Formwork in the MARS Pavilion: Towards The Creation Of Programmable Matter
doi	https://doi.org/10.52842/conf.acadia.2017.522
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 522- 533
summary	The proliferation of parametric tools has allowed for the design of previously impossible geometry, but the construction industry has failed to keep pace. We demonstrate the use of industrial robots to disrupt the ancient process of casting concrete and create an adjustable formwork capable of generating various cast components based on digital input, crafting a new approach to “programmable matter.” The resulting research delineates a novel methodology to facilitate otherwise cost-prohibitive, even impossible design. The MARS Pavilion employs this methodology in a building-sized proof of concept where manipulating fabric with industrial robots achieves previously unattainable precision while casting numerous connective concrete components to form a demountable lattice structure. The pavilion is the result of parametric form finding, in which a catenary structure ensures that the loads are acting primarily in compression. Every concrete component is unique, yet can be assembled together with a 1/16-inch tolerance. Expanding Culver & Sarafian’s previous investigations, industrial robot arms are sent coordinates to position fabric sleeves into which concrete is poured, facilitating a rapid digital-to-physical casting process. With this fabrication method, parametric variation in design is cost-competitive relative to other iterative casting techniques. This digital breakthrough necessitated analogue material studies of rapid-setting, high-strength concrete and flexible, integral reinforcing systems. The uniquely shaped components are coupled with uniform connectors designed to attach three limbs of concrete, forming a highly stable, compressive hex-grid shell structure. A finite element analysis (FEA) was a critical step in the structural engineering process to simulate various load scenarios on the pavilion and drive the shape of the connective elements to their optimal form.
keywords	material and construction; fabrication; form finding
series	ACADIA
email
last changed	2022/06/07 07:57

_id	acadia17_552
id	acadia17_552
authors	Sjoberg, Christian; Beorkrem, Christopher; Ellinger, Jefferson
year	2017
title	Emergent Syntax: Machine Learning for the Curation of Design Solution Space
doi	https://doi.org/10.52842/conf.acadia.2017.552
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 552- 561
summary	The expanding role of computational models in the process of design is producing exponential growth in parameter spaces. As designers, we must create and implement new methods for searching these parameter spaces, considering not only quantitative optimization metrics but also qualitative features. This paper proposes a methodology that leverages the pattern modeling properties of artificial neural networks to capture designers' inexplicit selection criteria and create user-selection-based fitness functions for a genetic solver. Through emulation of learned selection patterns, fitness functions based on trained networks provide a method for qualitative evaluation of designs in the context of a given population. The application of genetic solvers for the generation of new populations based on the trained network selections creates emergent high-density clusters in the parameter space, allowing for the identification of solutions that satisfy the designer’s inexplicit criteria. The results of an initial user study show that even with small numbers of training objects, a search tool with this configuration can begin to emulate the design criteria of the user who trained it.
keywords	design methods; information processing; AI; machine learning; generative system
series	ACADIA
email
last changed	2022/06/07 07:56

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia17_582
id	acadia17_582
authors	Staback, Danniely; Nguy?n, M?Dung; Addison, James; Angles, Zachary; Karsan, Zain; Tibbits, Skylar
year	2017
title	Aerial Pop-Up Structures
doi	https://doi.org/10.52842/conf.acadia.2017.582
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 582- 589
summary	Research into self-assembly systems has been growing in recent years, focusing on the design and engineering of materials to react to environmental factors, which trigger a chain of reactions promoting the components to build themselves. This paper attempts to expand this field with the design and testing of a full-scale structure that could be dropped high above the ground, self-assemble in the air in a matter of seconds, and form an inhabitable space on the ground. This system uses spline-based fiberglass rods, folded in specific configurations and connected with parachute surfaces as the main material system, enabling the global aerial performance. A series of drop tests were conducted from a 100? crane to investigate the unfolding sequence, the release mechanisms, and the parachute configurations, leading to its successful aerial assembly.
keywords	paper material and construction; physics; smart materials; smart assembly; construction; form finding
series	ACADIA
email
last changed	2022/06/07 07:56

_id	acadia17_590
id	acadia17_590
authors	Steinfeld, Kyle
year	2017
title	Dreams May Come
doi	https://doi.org/10.52842/conf.acadia.2017.590
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 590- 599
summary	This paper argues that prevailing approaches to CAD software have been fashioned to support modes of reasoning only of secondary importance to design activity, and that, due to some recent developments in computer vision, this state of affairs may be about to change. Surveying the current state of CAD tools, a critical position is developed based upon the best current understanding of the cognitive processes related to design. Following a high-level overview of some of the important developments in computer vision, and a curated set of examples of the applications these developments are finding in practices loosely related to architectural design, we draw out a number of parallels between machine learning (ML) and design thinking. We expect that this will serve as a guide to future research at the intersection of ML and architectural design tools.
keywords	education society & culture; computer vision; education
series	ACADIA
email
last changed	2022/06/07 07:56

_id	acadia17_670
id	acadia17_670
authors	Zwierzycki, Mateusz; Vestartas, Petras; Heinrich, Mary Katherine; Ayres, Phil
year	2017
title	High Resolution Representation and Simulation of Braiding Patterns
doi	https://doi.org/10.52842/conf.acadia.2017.670
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 670- 679
summary	From the hand-crafted to the highly engineered, braided structures have demonstrated broad versatility across scales, materials, and performance types, leading to their use in a plethora of application domains. Despite this prevalence, braided structures have seen little exploration within a contemporary architectural context. Within the flora robotica project, complex braided structures are a core element of the architectural vision, driving a need for generalized braid design modeling tools that can support fabrication. Due to limited availability of existing suitable tools, this interest motivates the development of a digital toolset for design exploration. In this paper, we present our underlying methods of braid topology representation and physics-based simulation for hollow tubular braids. We contextualize our approach in the literature where existing methods for this class of problem are not directly suited to our application, but offer important foundations. Generally, the tile generation method we employ is an already known approach, but we meaningfully extend it to increase the flexibility and scope of topologies able to be modeled. Our methods support design workflows with both predetermined target geometries and generative, adaptive inputs. This provides a high degree of design agency by supporting real-time exploration and modification of topologies. We address some common physical simulation problems, mainly the overshooting problem and collision detection optimization, for which we develop dynamic simulation constraints. This enables unrolling into realistically straight strips, our key fabrication-oriented contribution. We conclude by outlining further work, specifically the design and realization of physical braids, fabricated robotically or by hand.
keywords	design methods; information processing; fabrication; digital craft; manual craft; representation
series	ACADIA
email
last changed	2022/06/07 07:57

_id	ecaade2017_174
id	ecaade2017_174
authors	Tonn, Christian
year	2017
title	Designing Colour in Virtual Reality - Comparing a Virtual Reality based and a Screen based Colour Design Method
doi	https://doi.org/10.52842/conf.ecaade.2017.2.721
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 721-728
summary	Designing colours for architecture with digital tools is still a challenging topic. Especially for customers and students the perception of a full-scale coloured interior room is hard to imagine. This paper presents a software prototype and a small user study, which addresses the colour design process with professional digital tools and a virtual reality head mounted device (Oculus Rift DK2). The user can navigate within an imported three-dimensional model freely and change colour, texture and light properties with a real-time updated radiosity visualization. The presented user study compares a screen based working method with the developed virtual reality based design support and interaction method.
keywords	Virtual Reality; Colour; Design Support; Real-time; VR-glasses
series	eCAADe
email
last changed	2022/06/07 07:58

_id	cf2017_415
id	cf2017_415
authors	Tschetwertak, Julia; Schneider, Sven; Hollberg, Alexander; Donath, Dirk; Ruth, Jürgen
year	2017
title	A Matter of Sequence: Investigating the Impact of the Order of Design Decisions in Multi-Stage Design Processes
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 415.
summary	The design as a process is not a new topic in architecture, yet some theories are widely unexplored, such as the multi-stage decision-making (MD) process. This design method provides multiple solutions for one design problem and is characterized by design stages. By adding new building components in every stage, multiple solutions are created for each design solution from the previous stage. If the MD process is to be applied in architectural practice, fundamental and theoretical knowledge about it becomes necessary. This paper investigates the impact of sequence of design stages on the design solutions in the MD process. A basic case study provides the necessary data for comparing different sequences and gaining fundamental knowledge of the MD process. The study contains a parametric model for building generation, a parametric Life Cycle Assessment tool and an optimization mechanism based on Evolutionary Algorithms.
keywords	Multi-stage decision-making process, Design process, Life Cycle Performance, Design Automation
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2017_044
id	ecaade2017_044
authors	Fernando, Shayani, Reinhardt, Dagmar and Weir, Simon
year	2017
title	Simulating Self Supporting Structures - A Comparison study of Interlocking Wave Jointed Geometry using Finite Element and Physical Modelling Methods
doi	https://doi.org/10.52842/conf.ecaade.2017.2.177
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 177-184
summary	Self-supporting modular block systems of stone or masonry architecture are amongst ancient building techniques that survived unchanged for centuries. The control over geometry and structural performance of arches, domes and vaults continues to be exemplary and structural integrity is analysed through analogue and virtual simulation methods. With the advancement of computational tools and software development, finite and discrete element modeling have become efficient practices for analysing aspects for economy, tolerances and safety of stone masonry structures. This paper compares methods of structural simulation and analysis of an arch based on an interlocking wave joint assembly. As an extension of standard planar brick or stone modules, two specific geometry variations of catenary and sinusoidal curvature are investigated and simulated in a comparison of physical compression tests and finite element analysis methods. This is in order to test the stress performance and resilience provided by three-dimensional joints respectively through their capacity to resist vertical compression, as well as torsion and shear forces. The research reports on the threshold for maximum sinusoidal curvature evidenced by structural failure in physical modelling methods and finite element analysis.
keywords	Mortar-less; Interlocking; Structures; Finite Element Modelling; Models
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2017_198
id	ecaade2017_198
authors	Hussein, Hussein, Agkathidis, Asterios and Kronenburg, Robert
year	2017
title	Free-form Transformation Of Spatial Bar Structures - Developing a design framework for kinetic surfaces geometries by utilising parametric tools
doi	https://doi.org/10.52842/conf.ecaade.2017.1.747
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 747-756
summary	This paper presents a design framework for free-form transformation of kinetic, spatial bar structures using computational design techniques. Spatial bar structures considered as deployable, transformable kinetic structures composed of straight, linear members, assembled in a three-dimensional configuration. They are often utilised in portable, mobile or transformable buildings. Transformable systems of spatial bar structures are mostly based on modification of primitive shapes (e.g. box, sphere, and cylinder). Each system is subdivided into multiple members having the same shape, the so-called kinetic blocks. Some diverse precedents made to develop other forms of transformation of these structures with some issues. This research project will investigate how a free-form transformation of spatial bar systems can be achieved, by redesigning the kinetic block in relation to architectural, technical parameters. In order to develop a physical prototype of the kinetic block, and assess its potential in enabling free-form transformation of a spatial bar system, a design framework incorporating parametric, algorithmic and kinetic design strategies is required. The proposed design workflow consists of three main phases: form-finding, stability validation and actuation.
keywords	Parametric design; Kinetic; transformable; deployable; Free-form; design strategy
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2017_080
id	caadria2017_080
authors	Suzuki, Seiichi and Knippers, Jan
year	2017
title	Topology-driven Form-finding - Implementation of an Evolving Network Model for Extending Design Spaces in Dynamic Relaxation
doi	https://doi.org/10.52842/conf.caadria.2017.489
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 489-498
summary	This paper introduces a novel computational design methodology called topology-driven for the numerical form-finding of discrete networks and presents the essential building block for storing and processing information. Numerical form-finding focuses on computing the optimum geometric configuration of lightweight structures in which shape is the result of reciprocal dependencies between forces, material behaviors and structural performances. Among the design community, Dynamic Relaxation (DR) has gained in popularity given its capacity to support more flexible and interactive design spaces in form-finding. However, common implementations of networks models only focus on the interactive exploration of material and geometrical properties without further specification for topological dynamization. For facing this problematic, we propose an object-oriented approach to attach specific functionalities to particular pieces of data within the numerical schema. Here, we describe the implementation of a rule-based system for managing objects´ interactions in order to continuously track topological and geometrical changes. Based on this concept, larger design spaces can be developed for the interactive exploration of structural shapes.
keywords	Topology-driven; Form-Finding; Dynamic Relaxation; Object Structures; Design Spaces
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ijac201715301
id	ijac201715301
authors	Afsari, Kereshmeh; Charles Eastman and Dennis Shelden
year	2017
title	Building Information Modeling data interoperability for Cloud-based collaboration: Limitations and opportunities
source	International Journal of Architectural Computing vol. 15 - no. 3, 187-202
summary	Collaboration within Building Information Modeling process is mainly based on the manual transfer of document files in either vendor-specific formats or neutral format using Industry Foundation Classes. However, since the web enables Cloud-based Building Information Modeling services, it provides an opportunity to exchange data with web technologies. Alternative data sharing solutions include the federation of Building Information Modeling models and an interchange hub for data exchange in real time. These solutions face several challenges, are vendor locked, and integrate Building Information Modeling applications to a third new system. The main objective of this article is to investigate current limitations as well as opportunities of Cloud interoperability to outline a framework for a loosely coupled network-based Building Information Modeling data interoperability. This study explains that Cloud-Building Information Modeling data exchange needs to deploy major components of Cloud interoperability such as Cloud application programming interfaces, data transfer protocols, data formats, and standardization to redefine Building Information Modeling data flow in Cloud-based applications and to reshape collaboration process.
keywords	Building Information Modeling, Cloud, data exchange, interoperability, Industry Foundation Classes
series	journal
email
last changed	2019/08/07 14:03

_id	acadia17_28
id	acadia17_28
authors	Aguiar, Rita; Cardoso, Carmo; Leit?o,António
year	2017
title	Algorithmic Design and Analysis Fusing Disciplines
doi	https://doi.org/10.52842/conf.acadia.2017.028
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 28-37
summary	In the past, there has been a rapid evolution in computational tools to represent and analyze architectural designs. Analysis tools can be used in all stages of the design process, but they are often only used in the final stages, where it might be too late to impact the design. This is due to the considerable time and effort typically needed to produce the analytical models required by the analysis tools. A possible solution would be to convert the digital architectural models into analytical ones, but unfortunately, this often results in errors and frequently the analytical models need to be built almost from scratch. These issues discourage architects from doing a performance-oriented exploration of their designs in the early stages of a project. To overcome these issues, we propose Algorithmic Design and Analysis, a method for analysis that is based on adapting and extending an algorithmic-based design representation so that the modeling operations can generate the elements of the analytical model containing solely the information required by the analysis tool. Using this method, the same algorithm that produces the digital architectural model can also automatically generate analytical models for different types of analysis. Using the proposed method, there is no information loss and architects do not need additional work to perform the analysis. This encourages architects to explore several design alternatives while taking into account the design’s performance. Moreover, when architects know the set of design variations they wish to analyze beforehand, they can easily automate the analysis process.
keywords	design methods; information processing; simulation & optimization; BIM; generative system
series	ACADIA
email
last changed	2022/06/07 07:54

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